Automotive
OEMs, suppliers, and dealer networks generating supply-chain, vehicle telemetry, quality, and customer data across dozens of systems. We connect those signals and put the answers where production, logistics, and commercial teams can act on them.
What we get right in automotive.
Supply chain visibility
Supplier performance, inventory position, and logistics signals consolidated. Forecasting models the planning team trusts because the inputs are auditable and the latency is measured in minutes, not days.
Connected vehicle data
Telemetry pipelines from vehicle to cloud, processed at scale. Whether the use case is predictive maintenance, OTA analytics, or driver behavior, we build the plumbing and the surfaces on top.
Quality and warranty analytics
Defect, warranty, and field-return data tied back to production batches and supplier lots. Root-cause surfaces for quality engineers; trend dashboards for leadership.
What we get asked to build.
- Supply chain and logistics analytics
- Connected vehicle telemetry pipelines
- Dealer performance and aftermarket dashboards
- Quality, warranty, and yield analytics
- Component-level traceability from supplier lot to vehicle VIN
- Production scheduling optimization using demand and inventory signals
- EV battery telemetry analytics and state-of-health monitoring
- Recall risk scoring and early field-failure signal detection
What we bring to automotive.
Supply chain domain depth
Tier 1 and Tier 2 supplier relationships, component-level traceability, and the data flows that connect production scheduling to procurement are familiar territory. We know what automotive supply chain data looks like and what decisions it needs to support.
Connected vehicle data architecture
Telemetry pipelines from vehicle to cloud at automotive scale require careful design: event schema versioning, at-scale ingestion, storage tiering, and the latency requirements for the use cases on top.
Quality and warranty traceability
Tracing a field return to a production batch, a supplier lot, or a specific assembly process requires data models that most quality systems do not natively produce. We build the integration layer that makes that trace possible.
Dealer and aftermarket analytics
The customer relationship does not end at point of sale. Parts, service, warranty, and dealer performance data connected to the production and supply chain record produces insights that neither system alone can generate.
What clients typically see.
Doing similar work in automotive?
Tell us what you are trying to change. We will either be useful, or point you to who would be.